Robotics & Machine Learning Daily News2024,Issue(Jun.28) :129-130.

Researcher’s Work from National Institute of Advanced Industrial Science and Tec hnology (NIAIST) Focuses on Machine Learning (Merits and Demerits of Machine Lea rning of Ferroelectric, Flexoelectric, and Electrolytic Properties of Ceramic .. .)

国家先进工业科学技术研究所(NIAIST)研究员的工作重点是机器学习(陶瓷的铁电、挠曲电和电解性能机器学习的优缺点。 .)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :129-130.

Researcher’s Work from National Institute of Advanced Industrial Science and Tec hnology (NIAIST) Focuses on Machine Learning (Merits and Demerits of Machine Lea rning of Ferroelectric, Flexoelectric, and Electrolytic Properties of Ceramic .. .)

国家先进工业科学技术研究所(NIAIST)研究员的工作重点是机器学习(陶瓷的铁电、挠曲电和电解性能机器学习的优缺点。 .)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-人工智能的新数据在一份新的报告中呈现。根据NewsRx编辑在日本名古屋的新闻报道,研究人员指出,“在本综述中,讨论了机器学习(ML)在材料科学中的优点和需求,并与第一原理计算(偏微分方程)模型)和物理或现象ODE(常微分方程)模型计算进行了比较。”这项研究的资助者包括日本科学技术厅。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Nagoya, Japan, by NewsRx editors, research stated, “In the present review, the merits and deme rits of machine learning (ML) in materials science are discussed, compared with first principles calculations (PDE (partial differential equations) model) and p hysical or phenomenological ODE (ordinary differential equations) model calculat ions.” Funders for this research include Japan Science And Technology Agency.

Key words

National Institute of Advanced Industria l Science and Technology (NIAIST)/Nagoya/Japan/Asia/Cyborgs/Emerging Techno logies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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